Lee Kitack, Kim Jun-Seok, Park Ki-Tae, Park Min-Ji, Jang Eunho, Gudmundsson Kristinn, Olafsdottir Solveig R, Olafsson Jon, Yoon Young Jun, Lee Bang-Yong, Kwon Sae Yun, Kam Jonghun
Division of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Seoul 03722, Republic of Korea.
Division of Environmental Science and Engineering, Pohang University of Science and Technology, Pohang 37673, Republic of Korea.
Sci Total Environ. 2023 Jun 25;879:163020. doi: 10.1016/j.scitotenv.2023.163020. Epub 2023 Mar 24.
In two Icelandic Sea spring blooms (May 2018 and 2019) in the North Atlantic Ocean (62.9-68.0°N, 9.0-28.0°W), chlorophyll-a and dimethylsulfoniopropionate (DMSP) concentrations and DMSP lyase activity (the DMSP-to-dimethyl sulfide (DMS) conversion efficiency) were measured at 67 stations, and the hourly atmospheric DMS mixing ratios were concurrently measured only in May 2019 at Storhofdi on Heimaey Island, located south of Iceland (63.4°N, 20.3°W). The ocean parameters for biology (i.e., chlorophyll-a, DMSP, and DMSP lyase activity) were broadly associated in distribution; however, the statistical significance of the association differed among four ocean domains and also between 2018 and 2019. Specifically, the widespread dominance of Phaeocystis, coccolithophores, and dinoflagellates (all rich in DMSP and high in DMSP lyase activity) across the study area is a compelling indication that variations in DMSP-rich phytoplankton were likely a main cause of the variations in statistical significance. For all the ocean domains defined here, we found that the DMS production capacity (calculated using the exposures of air masses to ocean biology prior to their arrivals at Heimaey and the atmospheric DMS mixing ratios of those air masses at Heimaey) was surprisingly consistent with in situ ocean S data (i.e., DMSP and DMSP lyase activity). Our study shows that the proposed computational approach enabled the detection of changes in DMS production and emission in association with changes in ocean primary producers.
在北大西洋(北纬62.9 - 68.0°,西经9.0 - 28.0°)的两次冰岛海春季水华(2018年5月和2019年5月)期间,在67个站点测量了叶绿素a、二甲基巯基丙酸内盐(DMSP)浓度以及DMSP裂解酶活性(DMSP向二甲基硫醚(DMS)的转化效率),并且仅在2019年5月于冰岛以南的赫马岛(北纬63.4°,西经20.3°)的斯托尔霍夫迪同时测量了每小时的大气DMS混合比。生物学方面的海洋参数(即叶绿素a、DMSP和DMSP裂解酶活性)在分布上大致相关;然而,这种相关性的统计显著性在四个海洋区域之间以及2018年和2019年之间有所不同。具体而言,在整个研究区域内,棕囊藻、颗石藻和甲藻(均富含DMSP且DMSP裂解酶活性高)的广泛优势有力地表明,富含DMSP的浮游植物的变化可能是统计显著性变化的主要原因。对于这里定义的所有海洋区域,我们发现DMS生产能力(使用气团到达赫马岛之前与海洋生物学的接触情况以及这些气团在赫马岛的大气DMS混合比来计算)与原位海洋S数据(即DMSP和DMSP裂解酶活性)惊人地一致。我们的研究表明,所提出的计算方法能够检测与海洋初级生产者变化相关的DMS生产和排放变化。